Bhasha03's Stars
google-research/bert
TensorFlow code and pre-trained models for BERT
trekhleb/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
teambit/bit
A build system for development of composable software.
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
redcanaryco/atomic-red-team
Small and highly portable detection tests based on MITRE's ATT&CK.
llSourcell/Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
codertimo/BERT-pytorch
Google AI 2018 BERT pytorch implementation
zihangdai/xlnet
XLNet: Generalized Autoregressive Pretraining for Language Understanding
TDAmeritrade/stumpy
STUMPY is a powerful and scalable Python library for modern time series analysis
microsoft/tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
google/robotstxt
The repository contains Google's robots.txt parser and matcher as a C++ library (compliant to C++11).
llSourcell/Learn_Data_Science_in_3_Months
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
claimed-framework/component-library
The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.
facebookresearch/pyrobot
PyRobot: An Open Source Robotics Research Platform
ranahanocka/MeshCNN
Convolutional Neural Network for 3D meshes in PyTorch
austin-taylor/code-vault
Collection of useful notebooks and snippets
tensorflow/workshops
A few exercises for use at events.
Borye/machine-learning-coursera-1
This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course.
timsainb/tensorflow2-generative-models
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
heruoxin/Clip-Stack
[deprecated]
rasbt/stat479-machine-learning-fs19
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
google-research/tensor2robot
Distributed machine learning infrastructure for large-scale robotics research
gotoariel/folium-demo
Using Python for basic GIS: Folium, Flask, Heroku, and open data APIs
IBM/db2-python
This repository contains Jupyter Notebooks and Python sample programs that illustrate how to use the APIs in the ibm_db library
PacktPublishing/Hands-on-Supervised-Machine-Learning-with-Python
Hands-on Supervised Machine Learning with Python, Published by Packt
PacktPublishing/Machine-Learning-for-Android-App-development-Using-ML-Kit
Machine Learning for Android App development Using ML Kit, published by Packt
Bhasha03/Machine-Learning-for-Android-App-development-Using-ML-Kit
Machine Learning for Android App development Using ML Kit, published by Packt
manidharanupoju24/PasswordManagement
This app helps in managing multiple passwords using the database. Python and SQLite are used to implement this application.
Bhasha03/AI
ML